from collections import OrderedDict

opts = OrderedDict()
opts['gpu'] = 0                                          # 是否使用GPU
opts['arch'] = 'vgg'
opts['data'] = '/media/sdc2/Datasets/ILSVRC2015_VID/ILSVRC2015/Data/VID'
#opts['data'] = 'D:/Datasets/ILSVRC2015_VID/ILSVRC2015/Data/VID'
opts['workers'] = 32                                         # 使用的处理器数量
opts['epochs'] = 90                                         # 训练的批次
opts['start-epoch'] = 0                                    # 开始的批次
opts['batch_size'] = 256                                    # 每批训练的样本数
opts['lr'] = 0.001                                            # 学习率
opts['momentum'] = 0.9                                     # 适用于SGD
opts['weight-decay'] = 1e-4                                # 学习率衰减因子
opts['print-freq'] = 100                                    # 打印的频率
opts['resume'] = ''                                        # path to latest checkpoint (default: none)
opts['evaluate'] = []                                      # 评估
opts['pretrained'] = []                                    # 预训练
opts['seed'] = None                                        # seed for initializing training.
opts['multiprocessing-distributed'] = []                 #
opts['img_size'] = 32                                      # 输入到网络中图片的尺寸